The article discusses how images in medical scans can become noisy and distorted near edges during the reconstruction process. The researchers found that these issues are common in reconstructions using a specific method called maximum-likelihood estimation. They developed a new mathematical approach to reduce both the noise and edge artifacts in the images by adding constraints to the estimation process.